HPE Juniper Networking just announced a major update to its Mist AI platform. This is the first move since Hewlett Packard Enterprise closed its $14 billion acquisition of Juniper in July. The focus is agentic AI designed to push enterprise, branch, and data center networks closer to becoming fully “self-driving.”
Marvis AI assistant now leverages generative and agentic AI to understand and mitigate tech issues
Juniper’s Marvis AI assistant is getting quite the upgrade. The enhanced conversational interface now uses generative AI and multi-agent workflows to speed up troubleshooting. Instead of digging through dashboards, IT teams can simply ask, “Why is the Orlando site slow?” and Marvis will break it down, analyzing the context, pointing out the likely cause, and even suggesting or taking the proper fix.
“This evolution in Marvis AI Assistant marks a shift from assisted operations to autonomous networking intelligence, simplifying tasks like dashboard generation, cross-domain data correlation, and issue resolution through natural language input,” said Jeff Aaron, vice president of product and solution marketing at HPE.
From assisted to autonomous operations
The idea of the “self-driving network” has been around for years, but the idea here is to make it feel tangible. The new Marvis Actions features let IT teams decide which issues can be handled without human intervention. This includes tasks such as correcting VLAN misconfigurations, shutting down ports to resolve loops, or upgrading non-compliant devices.
“One thing that we added is the ability to choose specific areas for self-driving mode that don’t require human intervention,” Aaron said. “If a switch port is stuck or an AP is running non-compliant software, for example, you can tell Marvis to go fix it on its own.”
Each action is logged in the Marvis Actions Dashboard. This provides full visibility into what was fixed, how it was fixed, and why. That transparency is designed to build trust while freeing up IT teams from repetitive troubleshooting.
Extending intelligence into the data center
Marvis AI is also getting smarter in the data center, now working more closely with Juniper’s Apstra platform. Apstra’s contextual graph database basically maps out all the moving parts (switches, servers, policies, links, etc.) so Marvis can understand the bigger picture. That means it can break down complex questions, pull from nearly 300 different data sources, and deliver actionable answers instead of just raw data.
Additionally, IT teams can now utilize Marvis Minis, which are digital twins that function as always-on test users. Minis continuously simulate connections, validate performance, and identify issues before they are noticed.
These insights feed into Marvis’s Large Experience Model (LEM), which predicts and diagnoses user experience problems. Together, the upgrades provide IT teams with proactive and predictive troubleshooting capabilities across more parts of the network, effectively preventing problems from affecting users.
Real-world customer impact already clear to HPE Juniper
HPE Juniper points to customers already seeing results.
“The benefits of the platform are better operational experiences,” Aaron said. “That leads to better end-user benefits across our joint customers. In theory, the end user shouldn’t even know the network exists — it just does what it needs to do. Ultimately, it’s about better business outcomes. You can drive more agility with less business risk, and you can get greater productivity.”
With Mist at the core and new agentic AI capabilities rolling out, HPE Juniper is aiming to set the pace in the race toward truly autonomous, AI-native networks.
These latest Marvis enhancements show how quickly HPE Juniper is moving after clearing its biggest hurdle, the DOJ’s review of the $14 billion acquisition. With that chapter settled, the company is free to focus on what comes next: reshaping the networking market with AI-driven, self-driving capabilities.